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Evidence on Scaling in Health and Social Care: An Umbrella Review.

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Title: Evidence on Scaling in Health and Social Care: An Umbrella Review.
Authors: CORÔA, ROBERTA DE CARVALHO, GOGOVOR, AMÉDÉ, BEN CHARIF, ALI, HASSINE, ASMA BEN, ZOMAHOUN, HERVÉ TCHALA VIGNON, MCLEAN, ROBERT K. D., MILAT, ANDREW, PLOURDE, KARINE V., RHEAULT, NATHALIE, WOLFENDEN, LUKE, LÉGARÉ, FRANCE
Source: Milbank Quarterly. Sep2023, Vol. 101 Issue 3, p881-921. 41p. 11 Charts, 1 Graph.
Subjects: Professional practice, Online information services, Psychology information storage & retrieval systems, CINAHL database, Medical databases, Medical information storage & retrieval systems, Systematic reviews, Evidence-based medicine, Medical care, Research funding, Quality assurance, Statistical models, MEDLINE, Social case work, Diffusion of innovations, Grey literature
Abstract: Policy PointsMore rigorous methodologies and systematic approaches should be encouraged in the science of scaling. This will help researchers better determine the effectiveness of scaling, guide stakeholders in the scaling process, and ultimately increase the impacts of health innovations.The practice and the science of scaling need to expand worldwide to address complex health conditions such as noncommunicable and chronic diseases.Although most of the scaling experiences described in the literature are occurring in the Global South, most of the authors publishing on it are based in the Global North. As the science of scaling spreads across the world with the aim of reducing health inequities, it is also essential to address the power imbalance in how we do scaling research globally. Context: Scaling of effective innovations in health and social care is essential to increase their impact. We aimed to synthesize the evidence base on scaling and identify current knowledge gaps. Methods: We conducted an umbrella review according to the Joanna Briggs Institute Reviewers' Manual. We included any type of review that 1) focused on scaling, 2) covered health or social care, and 3) presented a methods section. We searched MEDLINE (Ovid), Embase, PsycINFO (Ovid), CINAHL (EBSCO), Web of Science, The Cochrane Library, Sociological Abstracts (ProQuest), Academic Search Premier (EBSCO), and ProQuest Dissertations & Theses Global from their inception to August 6, 2020. We searched the gray literature using, e.g., Google and WHO‐ExpandNet. We assessed methodological quality with AMSTAR2. Paired reviewers independently selected and extracted eligible reviews and assessed study quality. A narrative synthesis was performed. Findings: Of 24,269 records, 137 unique reviews were included. The quality of the 58 systematic reviews was critically low (n = 42). The most frequent review type was systematic review (n = 58). Most reported on scaling in low‐ and middle‐income countries (n = 59), whereas most first authors were from high‐income countries (n = 114). Most reviews concerned infectious diseases (n = 36) or maternal–child health (n = 28). They mainly focused on interventions (n = 37), barriers and facilitators (n = 29), frameworks (n = 24), scalability (n = 24), and costs (n = 14). The WHO/ExpandNet scaling definition was the definition most frequently used (n = 26). Domains most reported as influencing scaling success were building scaling infrastructure (e.g., creating new service sites) and human resources (e.g., training community health care providers). Conclusions: The evidence base on scaling is evolving rapidly as reflected by publication trends, the range of focus areas, and diversity of scaling definitions. Our study highlights knowledge gaps around methodology and research infrastructures to facilitate equitable North–South research relationships. Common efforts are needed to ensure scaling expands the impacts of health and social innovations to broader populations. [ABSTRACT FROM AUTHOR]
Copyright of Milbank Quarterly is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: <searchLink fieldCode="AR" term="%22CORÔA%2C+ROBERTA+DE+CARVALHO%22">CORÔA, ROBERTA DE CARVALHO</searchLink><br /><searchLink fieldCode="AR" term="%22GOGOVOR%2C+AMÉDÉ%22">GOGOVOR, AMÉDÉ</searchLink><br /><searchLink fieldCode="AR" term="%22BEN+CHARIF%2C+ALI%22">BEN CHARIF, ALI</searchLink><br /><searchLink fieldCode="AR" term="%22HASSINE%2C+ASMA+BEN%22">HASSINE, ASMA BEN</searchLink><br /><searchLink fieldCode="AR" term="%22ZOMAHOUN%2C+HERVÉ+TCHALA+VIGNON%22">ZOMAHOUN, HERVÉ TCHALA VIGNON</searchLink><br /><searchLink fieldCode="AR" term="%22MCLEAN%2C+ROBERT+K%2E+D%2E%22">MCLEAN, ROBERT K. D.</searchLink><br /><searchLink fieldCode="AR" term="%22MILAT%2C+ANDREW%22">MILAT, ANDREW</searchLink><br /><searchLink fieldCode="AR" term="%22PLOURDE%2C+KARINE+V%2E%22">PLOURDE, KARINE V.</searchLink><br /><searchLink fieldCode="AR" term="%22RHEAULT%2C+NATHALIE%22">RHEAULT, NATHALIE</searchLink><br /><searchLink fieldCode="AR" term="%22WOLFENDEN%2C+LUKE%22">WOLFENDEN, LUKE</searchLink><br /><searchLink fieldCode="AR" term="%22LÉGARÉ%2C+FRANCE%22">LÉGARÉ, FRANCE</searchLink>
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  Data: Policy PointsMore rigorous methodologies and systematic approaches should be encouraged in the science of scaling. This will help researchers better determine the effectiveness of scaling, guide stakeholders in the scaling process, and ultimately increase the impacts of health innovations.The practice and the science of scaling need to expand worldwide to address complex health conditions such as noncommunicable and chronic diseases.Although most of the scaling experiences described in the literature are occurring in the Global South, most of the authors publishing on it are based in the Global North. As the science of scaling spreads across the world with the aim of reducing health inequities, it is also essential to address the power imbalance in how we do scaling research globally. Context: Scaling of effective innovations in health and social care is essential to increase their impact. We aimed to synthesize the evidence base on scaling and identify current knowledge gaps. Methods: We conducted an umbrella review according to the Joanna Briggs Institute Reviewers' Manual. We included any type of review that 1) focused on scaling, 2) covered health or social care, and 3) presented a methods section. We searched MEDLINE (Ovid), Embase, PsycINFO (Ovid), CINAHL (EBSCO), Web of Science, The Cochrane Library, Sociological Abstracts (ProQuest), Academic Search Premier (EBSCO), and ProQuest Dissertations & Theses Global from their inception to August 6, 2020. We searched the gray literature using, e.g., Google and WHO‐ExpandNet. We assessed methodological quality with AMSTAR2. Paired reviewers independently selected and extracted eligible reviews and assessed study quality. A narrative synthesis was performed. Findings: Of 24,269 records, 137 unique reviews were included. The quality of the 58 systematic reviews was critically low (n = 42). The most frequent review type was systematic review (n = 58). Most reported on scaling in low‐ and middle‐income countries (n = 59), whereas most first authors were from high‐income countries (n = 114). Most reviews concerned infectious diseases (n = 36) or maternal–child health (n = 28). They mainly focused on interventions (n = 37), barriers and facilitators (n = 29), frameworks (n = 24), scalability (n = 24), and costs (n = 14). The WHO/ExpandNet scaling definition was the definition most frequently used (n = 26). Domains most reported as influencing scaling success were building scaling infrastructure (e.g., creating new service sites) and human resources (e.g., training community health care providers). Conclusions: The evidence base on scaling is evolving rapidly as reflected by publication trends, the range of focus areas, and diversity of scaling definitions. Our study highlights knowledge gaps around methodology and research infrastructures to facilitate equitable North–South research relationships. Common efforts are needed to ensure scaling expands the impacts of health and social innovations to broader populations. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Milbank Quarterly is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1111/1468-0009.12649
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        Text: English
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